Is There Any Way To Train A Portion Of A Training Data Set From A Selected Dataset For Data Mining?

Jun 19, 2007

Hi, all experts here,



I am wondering is there any way to select only a portion of a data set to train the mining model? In this case, I mean we dont need to split the dataset in advance, what I want to do is being able to select any random portion of a selected dataset to train a mining model. Any advices?



I am looking forward to hearing from you and thanks a lot in advance for your advices and help.



With best regards,



Yours sincerely,



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Hi, all here,

Thank you very much for your kind attention.

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Thank you very much in advance for any help.

With best regards,

Yours sincerely,

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Could I ask how to spit the data into training and validation sets when doing data mining?



Thanks

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Hello,



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Thanks a lot.

With best regards,

Yours sincerely,

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0 0
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Hi,



I am trying to model data in analysis services with the Advance Create Mining Model function in the excel addin. I am having trouble creating an association model that works like the Associate button above the Advanced button.



The format of my data is like this



OrderID Product

100 Bike

100 Helmet

100 Shoes

200 Helmet

200 basketball

200 Bat

300 Shoes

300 Socks



The associate button works perfectly since it asks me which column is the transaction id (orderid) and which column I am trying to predict (product). The advanced create mining model asks me to determine what the columns are...

OrderID=key Product=Input+Predict?



When I run the advance create mining model associate, I get a browser that gives me no rules and the support for only one item itemset (each product but no combination of products).



Does anyone know what I have to do to get it to work like the associate button?

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I am in the process of creating an Integration Services package to automate the process of training mining models and getting predictions. Until recently, I have been processing the models directly from Business Intelligence Studio without any problems. However, when I try to use the exact same training set as an input to the Data Mining Model Training destination, I get several errors. Here is the output:


[Mining Models [1]] Error: Parser: An error occurred during pipeline processing.
[Mining Models [1]] Error: Errors in the OLAP storage engine: The process operation ended because the number of errors encountered during processing reached the defined limit of allowable errors for the operation.
[Mining Models [1]] Error: Errors in the OLAP storage engine: An error occurred while the 'CPT MODIFIER' attribute of the 'BCCA DMS ~MC-CLAIM LIN~5' dimension from the 'BCCA LRG DMS TEST' database was being processed.
[Mining Models [1]] Error: File system error: The record ID is incorrect. Physical file: . Logical file: .
[Mining Models [1]] Error: Errors in the OLAP storage engine: The process operation ended because the number of errors encountered during processing reached the defined limit of allowable errors for the operation.
[Mining Models [1]] Error: Errors in the OLAP storage engine: An error occurred while the 'BILL TYPE' attribute of the 'BCCA DMS ~MC-CLAIM LIN~5' dimension from the 'BCCA LRG DMS TEST' database was being processed.
[Mining Models [1]] Error: File system error: The record ID is incorrect. Physical file: . Logical file: .
[DTS.Pipeline] Error: The ProcessInput method on component "Mining Models" (1) failed with error code 0x80004005. The identified component returned an error from the ProcessInput method. The error is specific to the component, but the error is fatal and will cause the Data Flow task to stop running.



I have not been able to find an answer as to why this is happening. I found a post regarding a similar problem with processing an OLAP cube in SSIS, but it seems that the author of that post never found an answer. Has anyone else here seen similar errors when processing mining models from Integration Services?



Also, if I process the mining models manually then try to run only predictions in SSIS, I get many of the same errors. I'll keep looking into the problem myself, but I would be very grateful if someone in this forum could shed some light on this issue.

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Error When Training Mining Model. Column Name Seems Can't Be Recognized

Jul 11, 2007



Dear All, I have a simple mining structure created by the DMX statement below. Then I tried to insert some data with MDX language by extracting data in OLAP. But I got the following error when I execute the insert statement.



Errors in the high-level relational engine. The 'Customer ID' column in the RELATES clause was not found in the results of the OPENROWSET query.


It seems that the append statement can't really recognize the name of the column which should be Customer ID.



How can I fix this problem?



Thanks

Tony Chun Tung Siu



The source code for create and insert is as below.



create mining model customerMiner
(
customerID long key ,
age long continuous,
orders table
(
orderID long key,
goodsID long discrete predict_only
)
)using [Microsoft_decision_trees] with drillthrough;

insert into mining model customerMiner
(
customerID,
age,
orders
(
skip,
orderID,
goodsID
)
)
shape
{
openQuery([Simple SSAS],
'
select {[Measures].[Customer ID], [Measures].[Age]} on columns,
{[Customer].[Customer].[Customer].members} on rows
from fi
')
}
append
(
{
openQuery([Simple SSAS],
'
select {[Measures].[Customer ID],[Measures].[Order ID2],[Measures].[Goods ID]} on columns,
[Goods].[Order ID2].[Order ID2].members on rows
from fi
')
}
relate [Customer ID] to [Customer ID]
)as orders

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[System.Reflection.Assembly]::LoadWithPartialName("Microsoft.SqlServer.SMO") | Out-Null
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Dec 20, 2006

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I'm implementing a clustering algorithm plugin for text mining. I've already read the tutorials and sample codes provided by the MSDN Library.

Well... My problem is: I can't go through the data when the Predict method is called. I've read that this method implements the "core" of the custom algorithms. Here is a small snippet of my code for you to understand my doubt:

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for(UINT i=0;i<in_ulCaseValues;i++) {
DM_ATTRIBUTE_VALUE& dmattributevalue = in_rgValues;
ULONG iAttribute = dmattributevalue.Attribute;
if (iAttribute == DM_UNSPECIFIED)
continue;
double dblValue = ::DblContinuous(dmattributevalue.Value);
char buffer[129];
sprintf(buffer,"%f ",dblValue);
RENAN_Log::log(buffer);
}
return S_OK;
}

As you can see, I'm going through in_rgValues to get its values, but i'm only obtaining the first register of the table on the database. I need to roll over a kind of resultset so I could access all the registers I need. Is there any way to do so ?

I expected Predict() received a matrix containing all my data, but the only thing I noticed that could represent the data is that in_rgValues vector. So I can go through this vector, but it holds only the first register of the table in the database (that's what's being saved on my log). I need all of the registers in order to pre-process the data and implement my clustering algorithm.

Well... That's it... I would be very pleased if you could help me.

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